A hierarchical mathematical model of the earthquake shelter location-allocation problem solved using an interleaved MPSO–GA

References

• Ahonen H, Alvarenga AGD, Amaral ARS. 2014. Simulated annealing and tabu search approaches for the Corridor Allocation Problem. Eur J Oper Res. 232(1):221–233.
   Google Scholar
• Ai J, Kachitvichyanukul V. 2009. A particle swarm optimization for the vehicle routing problem with simultaneous pickup and delivery. Comput Oper Res. 36(5):1693–1702.
   Google Scholar
• Barzinpour F, Esmaeili V. 2014. A multi-objective relief chain location distribution model for urban disaster management. Int J Adv Manuf Technol. 70(5-8):1291–1302.
   Google Scholar
• Bayram V, Tansel BT, Yaman H. 2015. Compromising system and user interests in shelter location and evacuation planning. Transport Res B Methodol. 72:146–163.
   Google Scholar
• Beijing Municipal Institute of City Planning & Design. 2007. Planning of earthquake and emergency shelters in Beijing central districts (outdoors). [accessed 2016 Sep 20]. http://xch.bjghw.gov.cn/web/static/articles/catalog_84/article_7491/7491.html
   Google Scholar
• Chang MS, Tseng YL, Chen JW. 2007. A scenario planning approach for the flood emergency logistics preparation problem under uncertainty. Transport Res E Log Transport Rev. 43(6):737–754.
   Google Scholar
• Chen Z, Chen X, Li Q, Chen J. 2013. The temporal hierarchy of shelters: a hierarchical location model for earthquake-shelter planning. Int J Geogr Inform Sci. 27(8):1612–1630.
   Google Scholar
• Datta TK. 2010. Seismic Analysis of Structures. Singapore: John Wiley & Sons.
   Google Scholar
• Deb K, Agrawal S, Pratab A, Meyarivan T. 2002. A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II. International Conference on Parallel Problem Solving From Nature. Berlin: Springer Berlin Heidelberg; p. 849–858
   Google Scholar
• Dijkstra EW. 1959. A note on two problems in connexion with graphs. Numer Math. 1(1):269–271.
   Google Scholar
• Doerner KF, Gutjahr WJ, Nolz PC. 2009. Multi-criteria location planning for public facilities in tsunami-prone coastal areas. Or Spectrum. 31(3):651–678.
   Google Scholar
• EM-DAT 2017. The OFDA/CRED international disaster database, universite catolique de louvain-brussels-belgium. [accessed 2017 Jan 1] http://www.emdat.be/
   Google Scholar
• Gama M, Scaparra MP, Santos B. 2013. Optimal location of shelters for mitigating urban floods. EWGT 2013-16^th Meeting of the EURO Working Group on Transportation.
   Google Scholar
• Gao R. 2015. A Multi-Objective Simulated Annealing Approach Towards 3D Packing Problems With Strong Constraints: Cmosa. ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers.
   Google Scholar
• Gates TJ, Noyce DA, Bill AR, Van Ee N. 2006. Recommended Walking Speeds for Pedestrian Clearance Timing Based on Pedestrian Characteristics. 85th Annual Meeting of the Transportation Research Board; Jan 22–26, Washington. p. 38–47.
   Google Scholar
• Ghaderi A, Jabalameli MS, Barzinpour F, Rahmaniani R. 2012. An efficient hybrid particle swarm optimization algorithm for solving the uncapacitated continuous location-allocation problem. Netw Spat Econ. 12(3):421–439.
   Google Scholar
• Goldberg DE. 1989. Genetic algorithms in search, optimization, and machine learning. Boston, Massachusetts, United States: Addison-Wesley.
   Google Scholar
• Haghighattalab A, Mohammadzadeh A, Valadan Zoej MJ, Taleai M. 2010. Post-earthquake road damage assessment using region-based algorithms from high-resolution satellite image, Proceedings of SPIE. 7830.
   Google Scholar
• Hakimi SL. 1964. Optimum locations of switching centers and the absolute centers and medians of a graph. Oper Res. 12(3):450–459.
   Google Scholar
• Hakimi SL. 1965. Optimum distribution of switching centers in a communication network and some related graph theoretic problems. Oper Res. 13(3):462–475.
   Google Scholar
• Haupt RL, Haupt SE. 1998. Practical genetic algorithms. New York: Wiley.
   Google Scholar
• Hu F, Xu W, Li X. 2012. A modified particle swarm optimization algorithm for optimal allocation of earthquake emergency shelters. Int J Geogr Inform Sci. 26(9):1643–1666.
   Google Scholar
• Hu F, Yang S, Xu W. 2014. A non-dominated sorting genetic algorithm for the location and districting planning of earthquake shelters. Int J Geogr Inform Sci. 28(7):1482–1501.
   Google Scholar
• Jin Y-X, Cheng H-Z, Yan J-Y, Zhang L. 2007. New discrete method for particle swarm optimization and its application in transmission network expansion planning. Electric Power Syst Res. 77(3–4):227–233.
   Google Scholar
• Kennedy J, Eberhart R. 1995. Particle swarm optimization. Proc. IEEE Int. Conf. Neural Network. 4:1942–1948.
   Google Scholar
• Kilci F, Kara BY, Bozkaya B. 2015. Locating temporary shelter areas after an earthquake: A case for Turkey. Eur J Oper Res. 243(1):323–332.
   Google Scholar
• Kirkpatrick S, Gelatt CD, Vecchi MP. 1983. Optimization by simulated annealing. Science. 220(4598):671–680.
   Google Scholar
• Kongsomsaksakul S, Yang C, Chen A. 2005. Shelter location-allocation model for flood evacuation planning. J East Asia Soc Transport Stud. 6(1981):4237–4252.
   Google Scholar
• Li ACY, Nozick L, Xu N, Davidson R. 2012. Shelter location and transportation planning under hurricane conditions. Transport Res E Log Transp Rev. 48(4):715–729.
   Google Scholar
• Li L, Jin M, Zhang L. 2011. Sheltering network planning and management with a case in the Gulf Coast region. Int J Prod Econ. 131(2):431–440.
   Google Scholar
• Lin S, Sun Y, Zhu Z, Liu Z. 2016. Investigation on seismic and shock absorption experiments of UHV arrester. Joint International Information Technology, Mechanical and Electronic Engineering Conference, Oct 4–5; Xi'an. Atlantis Press; p. 604–610.
   Google Scholar
• Marinakis Y, Marinaki M. 2008. A particle swarm optimization algorithm with path relinking for the location routing problem. J Math Model Algor. 7(1):59–78.
   Google Scholar
• Mousavi SM, Tavakkoli-Moghaddam R. 2013. Technical paper A hybrid simulated annealing algorithm for location and routing scheduling problems with cross-docking in the supply chain. J Manuf Syst. 32(2):335–347.
   Google Scholar
• Ng MW, Park J, Waller ST. 2010. A hybrid bilevel model for the optimal shelter assignment in emergency evacuations. Comput Aid Civil Infrastruct Eng. 25(8):547–556.
   Google Scholar
• Rodríguez-Espíndola O, Gaytán J. 2015. Scenario-based preparedness plan for floods. Nat Hazards. 76(2):1241–1262.
   Google Scholar
• Saadatseresht M, Mansourian A, Taleai M. 2009. Evacuation planning using multiobjective evolutionary optimization approach. Eur J Oper Res. 198(1):305–314.
   Google Scholar
• Salman FS, Yücel E. 2015. Emergency facility location under random network damage: Insights from the Istanbul case. Comput Oper Res. 62:266–281.
   Google Scholar
• Shen Q, Shi W-M, Kong W, Ye B-X. 2007. A combination of modified particle swarm optimization algorithm and support vector machine for gene selection and tumor classification. Talanta. 71(4):1679–1683.
   Google Scholar
• Sherali HD, Carter TB, Hobeika AG. 1991. A location-allocation model and algorithm for evacuation planning under hurricane/flood conditions. Transp Res B. 25(6):439–452.
   Google Scholar
• Toregas C, Swain R, ReVelle C, Bergman L. 1971. The location of emergency service facilities. Oper Res. 19(6):1363–1373.
   Google Scholar
• Widener MJ, Horner MW. 2011. A hierarchical approach to modeling hurricane disaster relief goods distribution. J Transp Geogr. 19(4):821–828.
   Google Scholar
• Yeh WC. 2009. A two-stage discrete particle swarm optimization for the problem of multiple multi-level redundancy allocation in series systems. Expert Syst Appl. 36(5):9192–9200.
   Google Scholar
• Yu VF, Lin S-Y. 2015. A simulated annealing heuristic for the open location-routing problem. Comput Oper Res. 62:184–196.
   Google Scholar
• Zhang Y, Man G, Shi B, Zhang J, Yang Y. 2009. Development of seismic intensity attenuation model in North China and its application to quantitative estimation of earthquake location and magnitude. Acta Seismol Sin. 31(3):290–306.
   Google Scholar
• Zhao X, Xu W, Ma Y, Hu F. 2015. Scenario-based multi-objective optimum allocation model for earthquake emergency shelters using a modified particle swarm optimization algorithm: a case study in Chaoyang District, Beijing, China. PLoS ONE. 10(12):e0144455. doi: 10.1371/journal.pone.0144455
   Google Scholar